# Logistic regression and interaction

I want to perform a logistic regression analysis on two independent variables (both have two states 0 and 1) with one dependent variable (the number of correct answers)

In SPSS I can calulate the interaction between the two independent variables

is this also possible in JASP?

## Comments

Hi Jan,

I'll forward this question to our logistic regression expert, but I think the expert will probably want to know what you mean exactly. In logistic regression, your

dependentvariable needs to be binary; for the predictors there is no such restriction. So it would be useful to know which y exactly you are trying to predict with which x's.Cheers,

E.J.

Hello E.J.

thanks for your reply.

the y is correct answers with values 0 and value 1

my independent variables are also binary:

timerelation with value 1 or 2

and genderorder with values 1or 2

Hi Jan,

since you have three dichotomous variables, you can use log-linear analysis.

In Jasp:

Frequencies -> Log-Linear Regression

and enter the three variables in the Factors box.

Cheers,

MAgoJ

Hi Jan,

I'd like to add that you can also add interactions in a similar way to how it's done in linear regression: open the the

`Model`

section, select both variables together in`components`

(by holding shift while selecting) and add it to`Model Terms`

.It will look somewhat like this:

Hello MAgoJ,

thank you for your reply

i am going to work that out!

Hello evankesteren,

thank you for your suggestion!

I will work on that too

Hello evanKesteren

something like this?

Hi Jan,

from the attached image, I understand that the variable Correctantwoord only returns 0 and 1 to indicate wrong or correct answer.

You must enter it in the

Factorbox, not in theCounts(optional) box.If your data were organized as a contingency table, the counting variable to be included in the Counts box would be frequencies.

I am attaching screenshots1 for fake data, organized like yours and screenshot_2 for the same data organized as frequencies from the contingency table.

Cheers,

MAgoJ

Hello MAgoJ,

thank you very much thats clear!

i will look at my data again

Hello MAgoJ,

works perfect thank you